| 2026 | KSEM | Unsupervised Adversarial Examples Detection in Modulation Classification via Model Explanations. | Yunzhe Tian, Dianjing Cheng, Xinyi Zhao, Xingyu Wu, Yike Li, Wenjia Niu, Jiqiang Liu |
| 2025 | CloudCom | A Lyapunov Optimization Framework for Green Satellite Communications. | Qilu Wu, Xiaoyi Fan, Zhen Zhang, Yang Zhou, Yike Li, Haihan Duan |
| 2025 | Interspeech | Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds. | Andrew Chang, Yike Li, Iran R. Roman, David Poeppel |
| 2025 | ISCAS | PDR-KAN: Pipeline-Driven Reconfigurable Accelerator for Kolmogorov-Arnold Networks with Cross-Mode Sparsity Support. | Wenhui Ou, Zhuoyu Wu, Yike Li, Alexandra Geciova, Zheng Wang, C. Patrick Yue |
| 2024 | ISCAS | Low-latency Buffering for Mixed-precision Neural Network Accelerator with MulTAP and FQPipe. | Yike Li, Zheng Wang, Wenhui Ou, Chen Liang, Weiyu Zhou, Yongkui Yang, Chao Chen |
| 2024 | KSEM | Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning. | Jiayin Song, Yike Li, Yunzhe Tian, Xingyu Wu, Qiong Li, Endong Tong, Wenjia Niu, Zhenguo Zhang, Jiqiang Liu |
| 2023 | IJCAI | Robust Reinforcement Learning via Progressive Task Sequence. | Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2023 | ISSRE | Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks. | Yunzhe Tian, Yike Li, Kang Chen, Endong Tong, Wenjia Niu, Jiqiang Liu, Fangyun Qin, Zheng Zheng |
| 2021 | ICA3PP | Security Analysis of Poisoning Attacks Against Multi-agent Reinforcement Learning. | Zhiqiang Xie, Yingxiao Xiang, Yike Li, Shuang Zhao, Endong Tong, Wenjia Niu, Jiqiang Liu, Jian Wang |
| 2021 | ICICS | Improving Convolutional Neural Network-Based Webshell Detection Through Reinforcement Learning. | Yalun Wu, Minglu Song, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Bowei Jia, Haixiang Huang, Qiong Li, Jiqiang Liu |
| 2021 | SRDS | Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory. | Tong Chen, Yingxiao Xiang, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu, Gang Li, Qi Alfred Chen |